{"title":"基于云计算的计算机网络可靠性分析全概率分解算法","authors":"Qiangguo Yin, Nana Feng","doi":"10.1109/ACEDPI58926.2023.00012","DOIUrl":null,"url":null,"abstract":"The emergence of cloud computing has profoundly changed the business computing model. People can obtain on-demand computing power without purchasing a large number of expensive specialized equipment. Currently, it has been widely used in the fields of defense and military, transportation, industrial manufacturing and social computing. How to use the existing cloud computing to build highly reliable and highly available application computing, and ensure that the computing runs stably along the expected track and towards the expected goal; How to objectively and scientifically design reliable cloud computing and dynamically and efficiently evaluate the reliability of cloud computing is an important problem in reliability analysis. Reliability plays a crucial role in the non-functional attributes of a service. The reliability of a service directly determines whether it can fulfill the business needs of the service requester according to certain requirements. Increasing the reliability of cloud services can reduce the service failure rate and reduce the service cost of cloud service providers to some extent. Therefore, the probability decomposition method adopted in this paper is an important method to calculate the network reliability. This method is applicable to both undirected and directed networks. It is easy to realize. The selection of decomposition elements does not depend on manpower. The experimental results show that the efficiency is as high as 61.5%.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Total Probability Decomposition Algorithm for Computer Network Reliability Analysis Based on Cloud Computing\",\"authors\":\"Qiangguo Yin, Nana Feng\",\"doi\":\"10.1109/ACEDPI58926.2023.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emergence of cloud computing has profoundly changed the business computing model. People can obtain on-demand computing power without purchasing a large number of expensive specialized equipment. Currently, it has been widely used in the fields of defense and military, transportation, industrial manufacturing and social computing. How to use the existing cloud computing to build highly reliable and highly available application computing, and ensure that the computing runs stably along the expected track and towards the expected goal; How to objectively and scientifically design reliable cloud computing and dynamically and efficiently evaluate the reliability of cloud computing is an important problem in reliability analysis. Reliability plays a crucial role in the non-functional attributes of a service. The reliability of a service directly determines whether it can fulfill the business needs of the service requester according to certain requirements. Increasing the reliability of cloud services can reduce the service failure rate and reduce the service cost of cloud service providers to some extent. Therefore, the probability decomposition method adopted in this paper is an important method to calculate the network reliability. This method is applicable to both undirected and directed networks. It is easy to realize. The selection of decomposition elements does not depend on manpower. The experimental results show that the efficiency is as high as 61.5%.\",\"PeriodicalId\":124469,\"journal\":{\"name\":\"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACEDPI58926.2023.00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACEDPI58926.2023.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Total Probability Decomposition Algorithm for Computer Network Reliability Analysis Based on Cloud Computing
The emergence of cloud computing has profoundly changed the business computing model. People can obtain on-demand computing power without purchasing a large number of expensive specialized equipment. Currently, it has been widely used in the fields of defense and military, transportation, industrial manufacturing and social computing. How to use the existing cloud computing to build highly reliable and highly available application computing, and ensure that the computing runs stably along the expected track and towards the expected goal; How to objectively and scientifically design reliable cloud computing and dynamically and efficiently evaluate the reliability of cloud computing is an important problem in reliability analysis. Reliability plays a crucial role in the non-functional attributes of a service. The reliability of a service directly determines whether it can fulfill the business needs of the service requester according to certain requirements. Increasing the reliability of cloud services can reduce the service failure rate and reduce the service cost of cloud service providers to some extent. Therefore, the probability decomposition method adopted in this paper is an important method to calculate the network reliability. This method is applicable to both undirected and directed networks. It is easy to realize. The selection of decomposition elements does not depend on manpower. The experimental results show that the efficiency is as high as 61.5%.